Senior KDB+ Data Engineer – Financial Trading Analytics

Unleash the Power of Data in Financial Trading – Drive Cutting-Edge Analytics with kdb+!

Krakow-based opportunity with hybrid work model (up to 3 remote days per week).

As a Senior KDB+ Data Engineer, you will be working for our client, a leading player in the financial trading industry. You will contribute to the development of scalable analytics and reporting solutions by leveraging high-performance timeseries databases (kdb+/q). Join a global team committed to delivering innovative solutions that shape the future of institutional trading and investment analytics.

Your main responsibilities:

• Develop and optimise kdb+ processes and queries to support low-latency, high-throughput trading analytics.
• Build analytical and aggregation layers for consumption by downstream systems, APIs, and AI/ML models.
• Expose kdb+ data and analytics via APIs and services to various front-end and AI engines.
• Collaborate with AI/data engineering teams to provide structured datasets for machine learning training and inference.
• Implement monitoring, alerting, and capacity planning for production kdb+ environments.
• Ensure resilience, failover, and disaster recovery plans for market-facing trading systems.
• Partner with traders, quants, and product teams to translate business needs into technical solutions.
• Follow internal policies on operational risk, data governance, and security, including auditability and access controls.
• Contribute to code reviews, establish best practices, and maintain high standards in kdb+ development.

You’re ideal for this role if you have:

• At least 5 years of experience working with large volume datasets in a production environment.
• Proven expertise in optimizing data queries and processes for low-latency, high-volume environments.
• Strong knowledge of Unix/Linux, scripting languages (e.g., Bash, Python), and version control (Git).
• Experience within FX, Rates, Credit, Equities, or Commodities trading environments.
• Understanding of electronic trading, pricing, and risk management concepts.
• Familiarity with CI/CD pipelines, automated testing, and deployment practices.
• Excellent problem-solving and debugging skills in production systems.
• Clear understanding of secure coding practices, data protection, and operational risk principles.

It is a strong plus if you have:

• Prior experience with kdb+ or time-series databases.
• Experience supporting AI/ML or advanced analytics platforms.
• Knowledge of anomaly detection, signal generation, or other time-series analytics.
• Background in global investment banking or electronic trading firms.

Language Required for the role:

• Fluent English, with good command of technical and business communication.

Eligibility for the role:

• Only candidates with an existing legal right to work in the European Union will be considered for this role.

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Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.